The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15350118

Alfrink, Kars; Keller, Ianus; Kortuem, Gerd; Doorn, Neelke (2022): Data Underlying the Publication: Contestable AI by Design: Towards a Framework. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15350118.v1

Dataset

• Artificial Intelligence and Image Processing
• Other Built Environment and Design
• Philosophy

artificial intelligence, automated decision-making, contestability, design, human-computer interaction, machine learning, sociotechnical systems

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Kars Alfrink , Ianus Keller, Gerd Kortuem, Neelke Doorn

Data and materials that accompany the article "Contestable AI by Design: Towards A Framework". Consists of an export of articles with inclusion decisions and reasons from systematic review software Rayyan; and an export of the codebook from qualitative analysis software Atlas.ti.

Files appended with "-revision" relate to major revision of the original manuscript.

• 2022-08-16 first online, published, posted

4TU.ResearchData

Codebooks as Microsoft Excel (.xlsx), quotations by code as Microsoft Word (.doc), and lists of articles with inclusion decision as comma-separated values (.csv).

Contestable AI by Design: Towards a Framework

• BRIdging Data in the built Environment (BRIDE) (grant code CISC.CC.018) [more info...] Dutch Research Council

TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)